To help the Air Force better anticipate cost and schedule challenges and manage programs, this study developed a methodology to evaluate the likelihood of cost growth and schedule slip for major defense acquisition projects (MDAPs).
In order to better understand the effects of an individual-focused predictive policing program in the field, this study analyzes a pilot program implemented in Chicago in 2013 aimed at reducing gun violence.
This report describes a contextual database of demographic, social, economic, housing, cultural, and urbanization measures for U.S. census tracts, counties, and metropolitan statistical areas for use in research.
The traditional baseball scout's keen eye is no longer deemed sufficient to rate talent, said Jeff Luhnow, general manager of the Houston Astros, at RAND's Politics Aside event. Analysts check curveball spin rates, computer-modeled swing mechanics, and even sleep habits.
This report describes the use of indirect estimation methods to estimate racial/ethnic populations in health care records, which often lack such data, and the use of such methods to measure and monitor disparities in quality of care.
In applied psychology research settings, such as criminal psychology, missing data are to be expected. Missing data can cause problems with both biased estimates and lack of statistical power. The paper aims to discuss these issues.
Researchers have two main reasons for caring about non-response. First, it is important to ensure that survey findings are unbiased and representative, and second, concern about survey non-response is a key reason given by those who ignore or chose not to act on the findings of research.
How can researchers and the users of survey research move from a knee-jerk dismissal of survey findings to being comfortable trusting and acting on the findings? Likely ways forward include emphasizing the methodology, triangulating the evidence, acknowledging the limitations, and developing good communication and trust between parties.
This tutorial provides an introduction to TWANG and demonstrates its use through illustrative examples. This tool includes the TWANG commands for Stata, a tutorial on their use, and the sample code and datasets used in the tutorial.
Videos with step-by-step procedures for implementing propensity score analyses involving two or more treatment groups using the TWANG (Toolkit for Weighting and Analysis of Nonequivalent Groups) data analysis package.